Coremetrics / IBM Digital Analytics (discontinued) vs. Microsoft Copilot Studio

IBM analytics has continued to improve upon the days of being the original core metrics. After using the updated version for quite some time, it has been great at providing the needed analytics to measure ROI and goal performance for our quarterly KPI's. It has resulted in a great increase in web engagements although we are a midsize company, smaller outfits may not need such an expensive option.

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It has performed exceptionally well where I have required deep contextual understanding , multi deimension analysis or web research. Recently it helped me in the implementation of SAP Project. It helped to prepare documentation like business blue prints, conduct workshops. Understand business requirement with the help of reviewing the information by summarizing.

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• IBM CXA comprises an acquisition called Tealeaf. This tool has deep heritage and this is evident in its present-day capabilities.
• The Universal Behaviour Exchange or UBX puts the concept of personalisation at the forefront. The ability to combine physical (analog) and digital transactions to create the complete picture of a customer journey, is a stand out benefit.
• The solution does not have to involve the purchase of software. IBM CXA can be sold as a service bundled with analytics as a service. This not only lowers the cost of ownership, it gets around one of the principal issues. Strong staff with design and analytical capability to drive the solution and deliver tangible benefits.
• The seamless integration of Watson AI services to help with the heavy lifiting. Watson reinforces the analytical focus this solution has and can learn to recognise situations specific to a company.

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• Agentic workflows
• AI chatbots
• Deploying via Teams
• Multiple knowledge sources

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• The user interface is in Flash, which can be very frustrating and slow at times. Apparently, this is to be transitioned in a future release.
• Can only segment the last 93 days of data. Any historical segmentation beyond the 93 days must be run in Explore (which is credit based, and has its own limitations with the number of credits per month, based on the initial contract with IBM).
• Reports can only display 93 days of data at a given time for custom date ranges. There are pre-programmed date ranges setup with IBM during implementation (last week, last month, last quarter etc.), but are not flexible enough to answer more specific questions.
• Certain reports cannot have segments applied, making answering some simple questions a bit more tricky. For example, I can create a segment around mobile devices and apply it to the marketing channels report, but I can't create a marketing channel segment and apply it to the mobile reports.
• Built in API calls allows for nice report design and automation.

• Ability to combine multiple sources in one query (indexing)
• SharePoint integration - word count limit detrimental
• Clearer communication and understanding of features and limitations

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IBM Digital Analytics is a great solution for our clients and I believe they offer the best solution for the retail space. We have access to IBM support via email or live chat and they can answer many of the reporting questions that come up. IBM is receptive to our feedback of the product so I am confident they will continue making improvements

At first, it stands out in integrating with the Microsoft ecosystem like Teams, Word, and Outlook. It makes simple for creation and deployment of AI agents and tools with out heavy coding. Great for the purpose of creating AI chat bots for regular tasks. It is excellent for quickly running mock demos.

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Very easy to implement and use.

I would give 9 as it works well for us by utilizing the agentic part we are able to utilize the capabilities of copilot studio, If the billing structure and hallucinations can be corrected I would have given 10 as well. I would recommend everyone to give it a try if you want to up your game in Agentic AI with clients.

Never had any issues

As reports are templated, the system is pretty quick. Sometimes you have to wait a bit for a report to render. Or you might have to re-load the page. But there is no real issue here and the system is on par with other similar systems.

No performance issue till date.

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Overall, the level of support is very good and I would say it is a strong asset of the solution. However, you can sometimes feel that there is a difference of level among the support team.

Online training is really great. One of the best assets that they have. Lots of great videos, pop quizzes at the end of each module. Fantastic. Other tools have similar features, but not as good.

We had an excellent experience during the online training of Microsoft Copilot Studio. We were given training which included complete informations in the session. The session include the how we can use it. It gave us the complete guide. We had recorded sessions for future reference.

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See previous comment: reading and understanding the encyclopedic implementation guide is a must.

Much of the work we did in IBM Digital Analytics could have been answered through Google Analytics, a much simpler, agile and FREE solution set. Not mention, given the vast number of Google Analytics USERS, free and actionable support is simply a click away ... this compared to IBM Digital Analytics fractured and often absent support service.

It is worldwide accepted and we already have the workspace and other tools from Microsoft family which compels us to go for copilot rather than google as it gives you wide range to explore in other areas in the same workspace. Rating and worldwide acceptance is more for Microsoft when compared to any other tool with respect to Agentic AI platform.

This solution can support large amount of data and transaction. The way that user management features are built, it shows it is meant for large organizations.

As it is low code it empowers everyone even with non technical person to create and deploy and publish the custom agents. Then agents can operate and plan, learn and scale the complex and challenging tasks across the entire business process. It helps to connect with data and take respective action.

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Not used.

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• We spend too much time trying to work around bugs on the new UI.
• We spend too much time trying to figure out how to make certain segments work because support and the knowledge center are lackluster.
• Our sales rep is very unresponsive and leaves us searching for a lot of answers on our own, including what other products we may benefit from that IBM offers.

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• Speed of delivery
• Scale of deployment
• Increase of access

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